```json { "action": "tool_call", "reasoning": "I've already profiled the basic structure and confirmed no nulls exist. Now I need to check for data quality issues like outliers, impossible values, and inconsistencies. Let me examine the actual values in key columns to identify any anomalies. I'll start by looking at the distribution of years, checking if medal_value aligns correctly with medal names, and examining country/event naming consistency.", "tool": "query_sql", "args": { "sql": "SELECT year, COUNT(*) as medals_per_year, COUNT(DISTINCT event) as events, COUNT(DISTINCT country) as countries, MIN(medal_value) as min_val, MAX(medal_value) as max_val FROM raw.olympic_table_tennis_medals_1988_2024 GROUP BY year ORDER BY year", "purpose": "Check year distribution and whether each Olympics has consistent event/medal counts", "source": "raw" } } ```